Philipp Burckhardt is a PhD Student in the joint Statistics & Public Policy program of the Department of Statistics and the Heinz College at Carnegie Mellon University. He hold a Master's degree in Applied Statistics from the University of Oxford and a Bachelor's degree in Economics from Humboldt-University. Some of his interests are the development of statistical methods for analyzing unstructured textual data, specifically from the health-care domain and to develop platform-independent and browser-enabled statistical tools, to aid decision-making and make it easier to turn insights into action. Recently, he has become a major contributor to the Node.js JavaScript ecosystem, having (co)-authored more than 200 npm packages in the areas of numerical computing, statistical tools and text mining, among others. For his dissertation, he is working on an e-learning platform for statistics education built on state-of-the-art web technologies. Together with Athan Reines, he is engaged in the development of a standard library for JavaScript called stdlib. He has spoken at various international conferences on topics ranging from political science, health-care informatics to machine learning and software engineering.

Philipp tweets at @burckhap, and his website can be found here.